Benthic habitat mapping with autonomous underwater vehicles

Author

Davie, Andrew ; Hartmann, Klaas ; Timms, Greg ; De Groot, Martin ; McCulloch, John

Author_Institution

Tasmanian ICT Centre, CSIRO, Hobart, TAS, Australia

fYear

2008

fDate

15-18 Sept. 2008

Firstpage

1

Lastpage

9

Abstract

We provide an outline of an autonomous benthic habitat mapping algorithm. This algorithm enables real-time on-board classification of images gathered by an autonomous underwater vehicle (AUV), with the ability to classify aquatic vegetation at a resolution approaching the species level. The algorithm is generic with respect to both the classification task and the imaging equipment being used. For example, it may be used to detect objects rather than habitat types using hyperspectral rather than visible light cameras.

Keywords

acoustic imaging; geophysics computing; image classification; object detection; oceanography; remote sensing; remotely operated vehicles; underwater vehicles; AUV; aquatic vegetation; autonomous underwater vehicles; benthic habitat mapping; generic algorithm; image classification; imaging equipment; object detection; Australia; Cameras; Ecosystems; Hardware; Hyperspectral imaging; Monitoring; Optical attenuators; Sea measurements; Uncertainty; Underwater vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

OCEANS 2008

Conference_Location

Quebec City, QC

Print_ISBN

978-1-4244-2619-5

Electronic_ISBN

978-1-4244-2620-1

Type

conf

DOI

10.1109/OCEANS.2008.5151927

Filename

5151927